{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9e58d0d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9fa46e58",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\"\"\" \n",
    "\n",
    "\"KD-RR\": [2.4, 1.2, 1.1, 0.8, 0.7, 0.4, 0.5, 0.4, 0.3],\n",
    "\"\"\"\n",
    "data = {\n",
    "    \"ε\": [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9],\n",
    "    \"V-Geo\": [3.6, 2.6, 1.9, 1.4, 1.3, 1.2, 1.15, 1.12, 1.10],\n",
    "    \"ε-PAPPOR\": [2.7, 2.2, 1.7, 1.35, 1.2, 1.10, 1.10, 0.9, 0.7],\n",
    "    \"RR-LDP\": [2.5, 1.56, 1.4, 1.1, 1.0, 0.8, 0.81, 0.75, 0.78],\n",
    "    \"SPV-EdgeDP\": [1.4, 1.1, 1.0, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2],\n",
    "}\n",
    "\n",
    "df = pd.DataFrame(data).set_index(\"ε\")\n",
    "plt.figure(figsize=(10, 6), dpi=100)\n",
    "\n",
    "# 【新增】差异化标记配置（形状+样式组合）\n",
    "markers = [\n",
    "    ('o', 'filled', 6),   # 实心圆（默认系列）\n",
    "    ('s', 'filled', 6),   # 实心方块\n",
    "    ('^', 'filled', 7),   # 实心上三角（加大尺寸）\n",
    "    ('D', 'hollow', 6),   # 空心菱形（边缘色=线条色）\n",
    "    ('x', 'bold', 5)      # 叉号（细线条）\n",
    "]\n",
    "\n",
    "for i, column in enumerate(df.columns):\n",
    "    marker, style, size = markers[i]\n",
    "    \n",
    "    # 标记样式处理\n",
    "    if style == 'filled':\n",
    "        mfc = 'white'  # 填充白色（与背景统一）\n",
    "        mec = plt.rcParams['axes.prop_cycle'].by_key()['color'][i]  # 边缘色=线条色\n",
    "        mew = 1.2\n",
    "    elif style == 'hollow':\n",
    "        mfc = 'none'   # 空心\n",
    "        mec = plt.rcParams['axes.prop_cycle'].by_key()['color'][i]\n",
    "        mew = 1.5\n",
    "    elif style == 'bold':\n",
    "        mfc = mec = plt.rcParams['axes.prop_cycle'].by_key()['color'][i]\n",
    "        mew = 2.0  # 加粗边缘\n",
    "    \n",
    "    plt.plot(\n",
    "        df.index, df[column],\n",
    "        marker=marker,\n",
    "        linestyle='-',\n",
    "        linewidth=2,\n",
    "        markersize=size,\n",
    "        markerfacecolor=mfc,\n",
    "        markeredgecolor=mec,\n",
    "        markeredgewidth=mew,\n",
    "        label=column,\n",
    "        alpha=0.9  # 统一透明度增强层次感\n",
    "    )\n",
    "\n",
    "# 保持之前的边框/图例优化\n",
    "ax = plt.gca()\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "\n",
    "plt.legend(\n",
    "    loc='upper right', \n",
    "    bbox_to_anchor=(1.02, 1),\n",
    "    frameon=False,\n",
    "    title='Methods',\n",
    "    handlelength=2,  # 延长图例标记长度\n",
    "    handletextpad=0.8  # 缩短标记与文字间距\n",
    ")\n",
    "\n",
    "# 其他配置\n",
    "plt.xlabel(\"ε\", fontsize=12)\n",
    "plt.ylabel(\"Loss of service quality\", fontsize=12)\n",
    "plt.xticks(df.index, rotation=45)\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cf836348",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "0705a70f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = {\n",
    "\"边缘节点数量\": [100, 200, 300, 400, 500, 600, 700, 800],\n",
    "\"ε-PAPPOR\": [2.51, 2.48, 1.78, 1.64, 1.49, 1.24, 1.12, 0.91],\n",
    "\"SPV-EdgeDP\": [1.51, 1.49, 1.24, 1.23, 1.21, 1.11, 0.89, 0.71]\n",
    "}\n",
    "\n",
    "df = pd.DataFrame(data).set_index(\"边缘节点数量\")\n",
    "plt.figure(figsize=(10, 6), dpi=100)\n",
    "\n",
    "# 【新增】差异化标记配置（形状+样式组合）\n",
    "markers = [\n",
    "    ('o', 'filled', 6),   # 实心圆（默认系列）\n",
    "    ('s', 'filled', 6),   # 实心方块\n",
    "    ('^', 'filled', 7),   # 实心上三角（加大尺寸）\n",
    "    ('D', 'hollow', 6),   # 空心菱形（边缘色=线条色）\n",
    "    ('x', 'bold', 5)      # 叉号（细线条）\n",
    "]\n",
    "\n",
    "for i, column in enumerate(df.columns):\n",
    "    marker, style, size = markers[i]\n",
    "    \n",
    "    # 标记样式处理\n",
    "    if style == 'filled':\n",
    "        mfc = 'white'  # 填充白色（与背景统一）\n",
    "        mec = plt.rcParams['axes.prop_cycle'].by_key()['color'][i]  # 边缘色=线条色\n",
    "        mew = 1.2\n",
    "    elif style == 'hollow':\n",
    "        mfc = 'none'   # 空心\n",
    "        mec = plt.rcParams['axes.prop_cycle'].by_key()['color'][i]\n",
    "        mew = 1.5\n",
    "    elif style == 'bold':\n",
    "        mfc = mec = plt.rcParams['axes.prop_cycle'].by_key()['color'][i]\n",
    "        mew = 2.0  # 加粗边缘\n",
    "    \n",
    "    plt.plot(\n",
    "        df.index, df[column],\n",
    "        marker=marker,\n",
    "        linestyle='-',\n",
    "        linewidth=2,\n",
    "        markersize=size,\n",
    "        markerfacecolor=mfc,\n",
    "        markeredgecolor=mec,\n",
    "        markeredgewidth=mew,\n",
    "        label=column,\n",
    "        alpha=0.9  # 统一透明度增强层次感\n",
    "    )\n",
    "\n",
    "# 保持之前的边框/图例优化\n",
    "ax = plt.gca()\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "\n",
    "plt.legend(\n",
    "    loc='upper right', \n",
    "    bbox_to_anchor=(1.02, 1),\n",
    "    frameon=False,\n",
    "    title='Methods',\n",
    "    handlelength=2,  # 延长图例标记长度\n",
    "    handletextpad=0.8  # 缩短标记与文字间距\n",
    ")\n",
    "\n",
    "# 其他配置\n",
    "plt.xlabel(\"Edge nodes number\", fontsize=12)\n",
    "plt.ylabel(\"Loss of service quality\", fontsize=12)\n",
    "plt.xticks(df.index, rotation=45)\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "47a2625e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "789fd121",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 原始数据 & 颜色映射（按方法顺序：SPV-EdgeDP, V-Geo, ε-PAPPOR）\n",
    "data = {\n",
    "    \"用户数量\": [100, 200, 300, 400, 500],\n",
    "    \"SPV-EdgeDP\": [1.51, 1.61, 1.71, 1.79, 1.81],\n",
    "    \"V-Geo\": [2.21, 2.31, 2.41, 2.51, 2.61],\n",
    "    \"ε-PAPPOR\": [3.92, 4.35, 5.52, 5.79, 7.21],\n",
    "}\n",
    "colors = [\"#f59e0b\", \"#a3e635\", \"#ef4444\"]  # 橙、绿、红（按方法顺序）\n",
    "\n",
    "# 数据处理\n",
    "df = pd.DataFrame(data).set_index(\"用户数量\")\n",
    "methods = df.columns\n",
    "bar_width = 0.25\n",
    "x = np.arange(len(df.index))\n",
    "\n",
    "plt.figure(figsize=(10, 6), dpi=100)\n",
    "\n",
    "# 绘制柱状图（指定颜色）\n",
    "for i, method in enumerate(methods):\n",
    "    offset = bar_width * i\n",
    "    plt.bar(\n",
    "        x + offset,\n",
    "        df[method],\n",
    "        width=bar_width,\n",
    "        label=method,\n",
    "        color=colors[i],  # 强制使用指定颜色\n",
    "        edgecolor=\"black\",\n",
    "        linewidth=1.2,\n",
    "    )\n",
    "\n",
    "# 【核心修改】图例左移 + 颜色匹配\n",
    "plt.legend(\n",
    "    loc=\"upper left\",  # 图例位置：左上\n",
    "    bbox_to_anchor=(0.05, 1),  # 向左偏移5%宽度（避免贴边）\n",
    "    frameon=False,\n",
    "    title=\"Methods\",\n",
    "    handlelength=2,\n",
    "    handletextpad=0.8,\n",
    "    # 手动设置图例标记颜色（解决颜色缓存问题）\n",
    "    handles=[\n",
    "        plt.Line2D(\n",
    "            [],\n",
    "            [],\n",
    "            color=colors[i],\n",
    "            marker=\"s\",\n",
    "            markersize=8,\n",
    "            label=method,\n",
    "            markerfacecolor=\"white\",\n",
    "            markeredgecolor=colors[i],\n",
    "        )\n",
    "        for i, method in enumerate(methods)\n",
    "    ],\n",
    ")\n",
    "\n",
    "# 其他样式保持\n",
    "plt.xlabel(\"User numbers\", fontsize=12)\n",
    "plt.ylabel(\"Loss of service quality\", fontsize=12)\n",
    "plt.xticks(x + bar_width * (len(methods) - 1) / 2, df.index, rotation=45)\n",
    "ax = plt.gca()\n",
    "ax.spines[\"top\"].set_visible(False)\n",
    "ax.spines[\"right\"].set_visible(False)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "my_env",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
